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   <div id="projectname">ECG R Peak detectors
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   <div id="projectbrief">A collection of ECG heartbeat detection algorithms implemented in Python: https://github.com/berndporr/py-ecg-detectors</div>
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Public Member Functions</h2></td></tr>
<tr class="memitem:a84adb37c163b24e0d7a41b8dfbcfd53a"><td class="memItemLeft" align="right" valign="top">def&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classhrv_1_1HRV.html#a84adb37c163b24e0d7a41b8dfbcfd53a">__init__</a> (self, sampling_frequency)</td></tr>
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<tr class="memitem:a3b7bfd38942d77d2e7989102c1971eee"><td class="memItemLeft" align="right" valign="top">def&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classhrv_1_1HRV.html#a3b7bfd38942d77d2e7989102c1971eee">SDSD</a> (self, rr_samples)</td></tr>
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<tr class="memitem:a433e98fde9df804b6b4f6beb99404504"><td class="memItemLeft" align="right" valign="top">def&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classhrv_1_1HRV.html#a433e98fde9df804b6b4f6beb99404504">NN50</a> (self, rr_samples)</td></tr>
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<tr class="memitem:a6f120509a245ea92d8d878d80f31ea10"><td class="memItemLeft" align="right" valign="top">def&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classhrv_1_1HRV.html#a6f120509a245ea92d8d878d80f31ea10">NN20</a> (self, rr_samples)</td></tr>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-attribs"></a>
Public Attributes</h2></td></tr>
<tr class="memitem:ae6e526c5f102b7baf207e66a8d34ed0a"><td class="memItemLeft" align="right" valign="top"><a id="ae6e526c5f102b7baf207e66a8d34ed0a"></a>
&#160;</td><td class="memItemRight" valign="bottom"><b>fs</b></td></tr>
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&#160;</td><td class="memItemRight" valign="bottom"><b>period</b></td></tr>
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<tr class="memitem:a0c8c1d0d7dbb827f4be425cfd983ae85"><td class="memItemLeft" align="right" valign="top"><a id="a0c8c1d0d7dbb827f4be425cfd983ae85"></a>
&#160;</td><td class="memItemRight" valign="bottom"><b>hr_discrete</b></td></tr>
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&#160;</td><td class="memItemRight" valign="bottom"><b>t_hr_discrete</b></td></tr>
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<tr class="memitem:a0b435323c1a34d9dfe8b053ca64ce06c"><td class="memItemLeft" align="right" valign="top"><a id="a0b435323c1a34d9dfe8b053ca64ce06c"></a>
&#160;</td><td class="memItemRight" valign="bottom"><b>hr_func</b></td></tr>
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<tr class="memitem:a8db9dfd2b16db2306420a3ff2a4844ee"><td class="memItemLeft" align="right" valign="top"><a id="a8db9dfd2b16db2306420a3ff2a4844ee"></a>
&#160;</td><td class="memItemRight" valign="bottom"><b>t_hr_linear</b></td></tr>
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&#160;</td><td class="memItemRight" valign="bottom"><b>hr_linear</b></td></tr>
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&#160;</td><td class="memItemRight" valign="bottom"><b>f_hr</b></td></tr>
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<tr class="memitem:a9f61845175a361317aecd3ccdd209651"><td class="memItemLeft" align="right" valign="top"><a id="a9f61845175a361317aecd3ccdd209651"></a>
&#160;</td><td class="memItemRight" valign="bottom"><b>f_hr_axis</b></td></tr>
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<tr class="memitem:a032512b484efc183b6d8e30f391781aa"><td class="memItemLeft" align="right" valign="top"><a id="a032512b484efc183b6d8e30f391781aa"></a>
&#160;</td><td class="memItemRight" valign="bottom"><b>lf</b></td></tr>
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<tr class="memitem:ae479363bcb314aa3133c9f4a1a263311"><td class="memItemLeft" align="right" valign="top"><a id="ae479363bcb314aa3133c9f4a1a263311"></a>
&#160;</td><td class="memItemRight" valign="bottom"><b>hf</b></td></tr>
<tr class="separator:ae479363bcb314aa3133c9f4a1a263311"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table>
<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><pre class="fragment">Heartrate variability class which calcualtes the standard HRV
parameters with the help of Python functions and for cross
validation also via the physionet's get_hrv script.
</pre> </div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
<a id="a84adb37c163b24e0d7a41b8dfbcfd53a"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a84adb37c163b24e0d7a41b8dfbcfd53a">&#9670;&nbsp;</a></span>__init__()</h2>

<div class="memitem">
<div class="memproto">
      <table class="memname">
        <tr>
          <td class="memname">def hrv.HRV.__init__ </td>
          <td>(</td>
          <td class="paramtype">&#160;</td>
          <td class="paramname"><em>self</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">&#160;</td>
          <td class="paramname"><em>sampling_frequency</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
</div><div class="memdoc">
<pre class="fragment">Constructor takes the sampling frequency.
All rr_sample data is in sample number and
will assume it's at this sampling rate.
</pre> 
</div>
</div>
<h2 class="groupheader">Member Function Documentation</h2>
<a id="a0a698751d77bee2a56a84f8a9d7cf666"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a0a698751d77bee2a56a84f8a9d7cf666">&#9670;&nbsp;</a></span>add_rr_error()</h2>

<div class="memitem">
<div class="memproto">
      <table class="memname">
        <tr>
          <td class="memname">def hrv.HRV.add_rr_error </td>
          <td>(</td>
          <td class="paramtype">&#160;</td>
          <td class="paramname"><em>self</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">&#160;</td>
          <td class="paramname"><em>rr_samples</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">&#160;</td>
          <td class="paramname"><em>error</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
</div><div class="memdoc">
<pre class="fragment">Adds jitter to the heartrate timestamps. 
The error and the rr_samples are in timestamps.
Returns the noisy timestamps in samples.
</pre> 
</div>
</div>
<a id="ae8514ce516204e64cbf42a0ef173a45a"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ae8514ce516204e64cbf42a0ef173a45a">&#9670;&nbsp;</a></span>fAnalysis()</h2>

<div class="memitem">
<div class="memproto">
      <table class="memname">
        <tr>
          <td class="memname">def hrv.HRV.fAnalysis </td>
          <td>(</td>
          <td class="paramtype">&#160;</td>
          <td class="paramname"><em>self</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">&#160;</td>
          <td class="paramname"><em>rr_samples</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
</div><div class="memdoc">
<pre class="fragment">Frequency analysis to calc self.lf, self.hf, returns the LF/HF-ratio and
also calculates the spectrum as pairs of (self.f_hr_axis,self.f_hr).
The input arrary is in sample points where R peaks have been detected.
</pre> 
</div>
</div>
<a id="a117bb3f4632b2c5d89ebc185becf7160"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a117bb3f4632b2c5d89ebc185becf7160">&#9670;&nbsp;</a></span>HR()</h2>

<div class="memitem">
<div class="memproto">
      <table class="memname">
        <tr>
          <td class="memname">def hrv.HRV.HR </td>
          <td>(</td>
          <td class="paramtype">&#160;</td>
          <td class="paramname"><em>self</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">&#160;</td>
          <td class="paramname"><em>rr_samples</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
</div><div class="memdoc">
<pre class="fragment">Calculate heart-rates from R peak samples.

:param rr_samples: R peak sample locations
:type rr_samples: array_like
:return: Heart-rates in BPM
:rtype: ndarray
</pre> 
</div>
</div>
<a id="a6f120509a245ea92d8d878d80f31ea10"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a6f120509a245ea92d8d878d80f31ea10">&#9670;&nbsp;</a></span>NN20()</h2>

<div class="memitem">
<div class="memproto">
      <table class="memname">
        <tr>
          <td class="memname">def hrv.HRV.NN20 </td>
          <td>(</td>
          <td class="paramtype">&#160;</td>
          <td class="paramname"><em>self</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">&#160;</td>
          <td class="paramname"><em>rr_samples</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
</div><div class="memdoc">
<pre class="fragment">Calculate NN20, the number of pairs of successive NNs that differ by more than 20 ms.

:param rr_samples: R peak sample locations
:type rr_samples: array_like
:return: NN20
:rtype: float
</pre> 
</div>
</div>
<a id="a433e98fde9df804b6b4f6beb99404504"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a433e98fde9df804b6b4f6beb99404504">&#9670;&nbsp;</a></span>NN50()</h2>

<div class="memitem">
<div class="memproto">
      <table class="memname">
        <tr>
          <td class="memname">def hrv.HRV.NN50 </td>
          <td>(</td>
          <td class="paramtype">&#160;</td>
          <td class="paramname"><em>self</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">&#160;</td>
          <td class="paramname"><em>rr_samples</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
</div><div class="memdoc">
<pre class="fragment">Calculate NN50, the number of pairs of successive NNs that differ by more than 50 ms.

:param rr_samples: R peak sample locations
:type rr_samples: array_like
:return: NN50
:rtype: float
</pre> 
</div>
</div>
<a id="ab46afaa8580b2e591fe049022ebbf1bc"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ab46afaa8580b2e591fe049022ebbf1bc">&#9670;&nbsp;</a></span>pNN20()</h2>

<div class="memitem">
<div class="memproto">
      <table class="memname">
        <tr>
          <td class="memname">def hrv.HRV.pNN20 </td>
          <td>(</td>
          <td class="paramtype">&#160;</td>
          <td class="paramname"><em>self</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">&#160;</td>
          <td class="paramname"><em>rr_samples</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
</div><div class="memdoc">
<pre class="fragment">Calculate pNN20, the proportion of NN20 divided by total number of NNs.

:param rr_samples: R peak sample locations
:type rr_samples: array_like
:return: pNN20
:rtype: float
</pre> 
</div>
</div>
<a id="adafa1274e727951a2a27bdad801e9674"></a>
<h2 class="memtitle"><span class="permalink"><a href="#adafa1274e727951a2a27bdad801e9674">&#9670;&nbsp;</a></span>pNN50()</h2>

<div class="memitem">
<div class="memproto">
      <table class="memname">
        <tr>
          <td class="memname">def hrv.HRV.pNN50 </td>
          <td>(</td>
          <td class="paramtype">&#160;</td>
          <td class="paramname"><em>self</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">&#160;</td>
          <td class="paramname"><em>rr_samples</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
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<pre class="fragment">Calculate pNN50, the proportion of NN50 divided by total number of NNs.

:param rr_samples: R peak sample locations
:type rr_samples: array_like
:return: pNN50
:rtype: float
</pre> 
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<a id="ad12f86c3d620bddd74d33892d0103e55"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ad12f86c3d620bddd74d33892d0103e55">&#9670;&nbsp;</a></span>RMSSD()</h2>

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        <tr>
          <td class="memname">def hrv.HRV.RMSSD </td>
          <td>(</td>
          <td class="paramtype">&#160;</td>
          <td class="paramname"><em>self</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">&#160;</td>
          <td class="paramname"><em>rr_samples</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">&#160;</td>
          <td class="paramname"><em>normalise</em> = <code>False</code>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
</div><div class="memdoc">
<pre class="fragment">Calculate RMSSD (root mean square of successive differences).

:param rr_samples: R peak sample locations
:type rr_samples: array_like
:param normalise: normalise the RMSSD against the average RR interval, defaults to False
:type normalise: bool, optional
:return: RMSSD (root mean square of successive differences)
:rtype: float
</pre> 
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<a id="a2f06b90967d0aaf25aed8e3acf1a0963"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a2f06b90967d0aaf25aed8e3acf1a0963">&#9670;&nbsp;</a></span>SDANN()</h2>

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          <td class="memname">def hrv.HRV.SDANN </td>
          <td>(</td>
          <td class="paramtype">&#160;</td>
          <td class="paramname"><em>self</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">&#160;</td>
          <td class="paramname"><em>rr_samples</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">&#160;</td>
          <td class="paramname"><em>average_period</em> = <code>5.0</code>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">&#160;</td>
          <td class="paramname"><em>normalise</em> = <code>False</code>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
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<pre class="fragment">Calculate SDANN, the standard deviation of the average RR intervals calculated over short periods.

:param rr_samples: R peak sample locations
:type rr_samples: array_like
:param average_period: The averging period in minutes, defaults to 5.0
:type average_period: float, optional
:param normalise: normalise the SDANN against the average RR interval, defaults to False
:type normalise: bool, optional
:return: SDANN, the standard deviation of the average RR intervals calculated over short periods
:rtype: float
</pre> 
</div>
</div>
<a id="a89ad722309b569b4531b1491d61cfc32"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a89ad722309b569b4531b1491d61cfc32">&#9670;&nbsp;</a></span>SDNN()</h2>

<div class="memitem">
<div class="memproto">
      <table class="memname">
        <tr>
          <td class="memname">def hrv.HRV.SDNN </td>
          <td>(</td>
          <td class="paramtype">&#160;</td>
          <td class="paramname"><em>self</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">&#160;</td>
          <td class="paramname"><em>rr_samples</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">&#160;</td>
          <td class="paramname"><em>normalise</em> = <code>False</code>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
</div><div class="memdoc">
<pre class="fragment">Calculate SDNN, the standard deviation of NN intervals.

:param rr_samples: R peak sample locations
:type rr_samples: array_like
:param normalise: normalise the SDNN against the average RR interval, defaults to False
:type normalise: bool, optional
:return: SDNN, the standard deviation of NN intervals
:rtype: float
</pre> 
</div>
</div>
<a id="a3b7bfd38942d77d2e7989102c1971eee"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a3b7bfd38942d77d2e7989102c1971eee">&#9670;&nbsp;</a></span>SDSD()</h2>

<div class="memitem">
<div class="memproto">
      <table class="memname">
        <tr>
          <td class="memname">def hrv.HRV.SDSD </td>
          <td>(</td>
          <td class="paramtype">&#160;</td>
          <td class="paramname"><em>self</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">&#160;</td>
          <td class="paramname"><em>rr_samples</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
</div><div class="memdoc">
<pre class="fragment">Calculate SDSD (standard deviation of successive differences), the standard deviation of the successive differences between adjacent NNs.

:param rr_samples: R peak sample locations
:type rr_samples: array_like
:return: SDSD (standard deviation of successive differences)
:rtype: float
</pre> 
</div>
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<hr/>The documentation for this class was generated from the following file:<ul>
<li>hrv.py</li>
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